Machine learning techniques in magnetic levitation problems

被引：0

作者：

Arrayas, Manuel ^{[1
]}

Trueba, Jose L. ^{[1
]}

Uriarte, Carlos ^{[1
]}

机构：

[1] Univ Rey Juan Carlos, Area Electromagnetismo, Tulipdn S-N, Madrid 28933, Spain

来源：

CHAOS SOLITONS & FRACTALS | 2023年 / 167卷

关键词：

Magnetic levitation; Machine learning; Stability regions;

D O I：

10.1016/j.chaos.2022.113043

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

We present a method for calculating the stability region of a perfect diamagnet levitated in a magnetic field created by a circular current loop making use of the machine learning techniques. As an application we compute stability regions, points of stable equilibrium and stable oscillatory motions in two chip-based superconducting trap architectures used to levitate superconducting particles. Our procedure is an alternative to a full numerical scheme based on finite element methods which are expensive to implement for optimizing experimental parameters.

引用

页数：4

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